Daniel De Moraes Lobo Email & Phone Number
Who is Daniel De Moraes Lobo? Overview
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Daniel De Moraes Lobo is listed as Team Lead at 4Subsea, a with 186 employees, based in Rio De Janeiro, Brazil. AeroLeads shows a matched LinkedIn profile for Daniel De Moraes Lobo.
Daniel De Moraes Lobo previously worked as Project Engineer at 4Subsea and Engineer at 4Subsea. Daniel De Moraes Lobo holds Doctor Of Science (D.Sc.) In Mechanical Engineering from Universidade Federal Do Rio De Janeiro.
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About Daniel De Moraes Lobo
Currently working as project engineer in 4subsea with responsabilities in marine operations, wellhead monitoring, instrumentation and asset integrity management. I am also a Doctoral Candidate (D.Sc.) in Mechanical Engineering at COPPE/UFRJ with experience in topics such as mechanical modeling and simulation, statistics, data analysis, experimental analysis, numerical methods and programming. More than 5 years of experience in oil and gas industry, having worked actively in the interface between industry and universities through multidisciplinary research projects.
Listed skills include Microsoft Office, Microsoft Excel, Microsoft Project, Abaqus, and 16 others.
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Daniel De Moraes Lobo work experience
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Project Engineer
Current
Engineer
Full-Time Phd Researcher | Capes Scholarship
• Developed and simulated mathematical models in MATLAB using techniques such as finite element method, numerical methods, and statistics.• Analyzed data obtained in the field and in the laboratory using Fourier Transform, Spectrograms, Phase Diagrams, Box-plots, linear regression, among other techniques.• Calibrated mathematical models through optimization techniques using MATLAB.
Mechanical Engineer | Associate Researcher
Project held for Petrobras: Data analysis of the vibration in oil&gas drilling operations, modeling/simulation of the dynamics of drill-strings, and calibration of dynamical models.• Dealed with client’s technical interlocutor and supervised a research group of 2 engineers, 3 graduate and 2 undergraduate students.• Managed all stages of the project in terms of scope, deadlines and budget through a mixed methodology (traditional + agile).• Developed, calibrated and simulated mechanical models of drill string dynamics in MATLAB using finite elements and other discrete models.• Helped the construction of simulations in ABAQUS with Python and Fortran to validate the developed models.• Analyzed vibration data obtained in a drilling rig, using MATLAB and techniques such as FFT, Spectrogram, temporal graphs, among other techniques.• Assisted in the development of machine learning solutions using PCA, neural networks, and SVM.Key achievements:• Developed a computational library that permits the simulation and calibration of mechanical models of different complexities to describe the axial, torsional, and lateral vibration of drill-strings.• Managed to fulfill all project deliveries despite a budget cut of 20% and technical challenges.
Full-Time Master'S Researcher | Cnpq Scholarship
• Developed a finite element model for the simulation of axial-torsional vibration of drill strings using MATLAB.• Proposed a methodology to consider the uncertainties of the rock formation in the models to assess and quantify the risks of the operation.• Designed and built an instrumented laboratory test bench to emulate the vibrations of the drill string using commercial sensors, National Instruments acquisition plates, and a software built in LabView.• Analyzed the data obtained on the test bench using MATLAB through box-plots, FFT, spectrogram, polynomial regression, distribution fit and so on.
Research And Development Intern
• Performed factory data analysis using Minitab, PostgreSQL, Excel and Python.• Evaluated the reliability of tubular products using mechanical models (API 5C3 / ISO 10400) along with advanced statistical tools such as FORM / SORM, Monte-Carlo simulations, box-plots, and hypothesis testing.• Developed a solution to perform data analysis for reliability assessment resulting in 80% time savings.• Calibrated mechanical models that significantly improved the prediction of collapse pressure resistance using python optimization algorithms such as genetic algorithm and steepest descendent.• Simulated oil well casing collapse and salt layer creep effects using Abaqus/Python.• Supported the executive board with reports on new technologies.Key achievements:• Developed a solution to perform manufacturing data analysis for reliability assessment in significantly reduced time.• Accomplished calibrated mechanical models that significantly improved the prediction of casing pressure resistance.
Intern
• Performed economic data collection/analysis for chemical facilities;• Prepared technical reports in English;• Helped in the development of a database and tools to analyze economic data of chemical facilities.
Projects Coordinator
• Led around 15 people; • Conducted recruitment and selection of new talents;• Analyzed key performance indicators;• Responsible for the relationship with partners and clients;• Performed 3D modeling, parts dimensioning and technical drawings.Major accomplishments: Coordinated 6 project simultaneously. Created a teamwork culture inside the department that improved the participation of project managers on technical activities of all projects.
Project Manager
• Managed teams and projects;• Planned, negotiated and managed 2 engineering projects; • Performed numerical simulations in Ansys; • Implemented quality management system (QMS);• Modeled and standardized processes.Major accomplishments: Planned, negotiated, managed and executed the first project about structural analysis using finite elements method.
Colleagues at 4Subsea
Other employees you can reach at 4subsea.com. View company contacts for 186 employees →
Jan Muren
Colleague at 4SubseaOslo, Norway
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TM
Tor Mogens Jentoft
Colleague at 4SubseaOslo, Norway
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HJ
Harald Johansen
Colleague at 4SubseaKristiansand, Agder, Norway
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MF
Morten Fjeldsaa
Colleague at 4SubseaKristiansand, Agder, Norway
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RF
Rodrigo Fucci Bertoletti Becho
Colleague at 4SubseaRio De Janeiro, Brazil
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HC
Henning Christensen
Colleague at 4SubseaOslo, Norway
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TA
Torbjørn Amundsen
Colleague at 4SubseaBergen, Vestland, Norway
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TB
Tim Barbier
Colleague at 4SubseaBergen, Vestland, Norway
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GA
Gunnar Axelsson
Colleague at 4SubseaSki, Viken, Norway
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DG
David Gimenes
Colleague at 4SubseaRio De Janeiro, Brazil
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Daniel De Moraes Lobo education
Doctor Of Science (D.Sc.) In Mechanical Engineering
Master Of Science (M.Sc.) In Mechanical Engineering, A
Bachelor’S Degree, Mechanical Engineering, 8.9 Out Of 10.0
Frequently asked questions about Daniel De Moraes Lobo
Quick answers generated from the profile data available on this page.
What company does Daniel De Moraes Lobo work for?
Daniel De Moraes Lobo works for 4Subsea.
What is Daniel De Moraes Lobo's role at 4Subsea?
Daniel De Moraes Lobo is listed as Team Lead at 4Subsea.
Where is Daniel De Moraes Lobo based?
Daniel De Moraes Lobo is based in Rio De Janeiro, Brazil while working with 4Subsea.
What companies has Daniel De Moraes Lobo worked for?
Daniel De Moraes Lobo has worked for 4Subsea, Federal University Of Rio De Janeiro, Fundacao Coppetec, Vallourec Tubos Do Brasil S.A., and Intratec Solutions.
Who are Daniel De Moraes Lobo's colleagues at 4Subsea?
Daniel De Moraes Lobo's colleagues at 4Subsea include Jan Muren, Tor Mogens Jentoft, Harald Johansen, Morten Fjeldsaa, and Rodrigo Fucci Bertoletti Becho.
How can I contact Daniel De Moraes Lobo?
You can use AeroLeads to view verified contact signals for Daniel De Moraes Lobo at 4Subsea, including work email, phone, and LinkedIn data when available.
What schools did Daniel De Moraes Lobo attend?
Daniel De Moraes Lobo holds Doctor Of Science (D.Sc.) In Mechanical Engineering from Universidade Federal Do Rio De Janeiro.
What skills is Daniel De Moraes Lobo known for?
Daniel De Moraes Lobo is listed with skills including Microsoft Office, Microsoft Excel, Microsoft Project, Abaqus, Matlab, Engineering, Topsolid Design, and Structural Reliability.
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